r2

summary of best predictions
mdlpreds mean(r2) median(r2) sd(r2)
phv 0.52 0.56 0.09
phvfsca 0.76 0.77 0.06
phvaso 0.67 0.71 0.17
phvasofsca 0.79 0.79 0.09

phv

phvfsca

phvaso

phvasofsca

all model boxplots

% MAE

summary of best predictions
mdlpreds mean(pctmae) median(pctmae) sd(pctmae)
phv 59.38 54.39 21.96
phvfsca 37.14 37.61 11.93
phvaso 53.98 45.90 23.32
phvasofsca 36.21 35.70 12.32

phv

phvfsca

phvaso

phvasofsca

all model boxplots

compare best errors vs basin aggregated snow variables

Dependent variable:
phv.r2 phv.pctmae phvfsca.r2 phvfsca.pctmae phvaso.r2 phvaso.pctmae phvasofsca.r2 phvasofsca.pctmae
1as 1mvs 1mf 1mvf 2as 2mvs 2mf 2mvf 3as 3mvs 3mf 3mvf 4as 4mvs 4mf 4mvf 5as 5mvs 5mf 5mvf 6as 6mvs 6mf 6mvf 7as 7mvs 7mf 7mvf 8as 8mvs 8mf 8mvf
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28) (29) (30) (31) (32)
basinmetricval 0.39*** 1.00*** 0.17*** 0.59*** -185.11*** -465.79*** -67.57*** -216.26*** 0.17*** 0.48*** 0.01 0.07 -67.57*** -162.17*** -21.73*** -71.17*** 0.68*** 1.12* 0.36*** 1.24*** -212.25*** -572.49*** -67.84*** -221.73*** 0.53*** 1.57*** 0.18*** 0.60*** -84.56*** -208.03*** -24.01*** -78.63***
Constant 0.47*** 0.50*** 0.47*** 0.46*** 83.43*** 69.22*** 79.79*** 79.76*** 0.74*** 0.75*** 0.76*** 0.76*** 44.45*** 39.76*** 42.18*** 42.13*** 0.58*** 0.65*** 0.54*** 0.53*** 80.81*** 64.78*** 75.77*** 75.98*** 0.72*** 0.76*** 0.74*** 0.73*** 45.24*** 39.36*** 42.09*** 42.00***
R2 0.08 0.04 0.18 0.21 0.43 0.21 0.53 0.55 0.05 0.03 0.003 0.01 0.18 0.07 0.19 0.20 0.08 0.01 0.28 0.29 0.40 0.19 0.53 0.55 0.28 0.16 0.30 0.34 0.23 0.08 0.25 0.26
Note: p<0.1; p<0.05; p<0.01

compare all errors vs basin aggregated snow variables

compare best errors vs fsca pattern differences

Dependent variable:
phv.r2 phv.pctmae phvfsca.r2 phvfsca.pctmae phvaso.r2 phvaso.pctmae phvasofsca.r2 phvasofsca.pctmae
1a 1s 2a 2s 3a 3s 4a 4s 5a 5s 6a 6s 7a 7s 8a 8s
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)
fscametricval -0.11*** -0.20*** 72.91** -76.53 0.10* 0.25** -14.87 -47.03*** -0.23*** -0.48** 65.67*** 125.61** -0.22* -0.25 9.56 -23.17
Constant 0.58*** 0.56*** 33.89*** 66.98*** 0.73*** 0.73*** 45.26*** 47.72*** 0.79*** 0.76*** 27.67*** 38.90*** 0.87*** 0.82*** 30.71*** 41.77***
R2 0.43 0.33 0.17 0.04 0.11 0.21 0.04 0.29 0.31 0.21 0.52 0.22 0.13 0.03 0.04 0.08
Note: p<0.1; p<0.05; p<0.01

compare all errors vs fsca pattern differences by date

are the differences in patterns of fsca and swe similar?

comparison of maps for each date but leaving out maps from the same year in the comparison

swe and fsca difference for best predictions

More yellow means prediction was better. x and y axis represent the differences between simulation date and model date expressed as mean squared error or mean absolute error.

Dependent variable:
swe
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)
fsca 0.77*** 0.59*** 0.65*** 0.80*** 0.05 0.05 0.22*** 0.20*** 1.04*** 1.50*** 0.56 1.53*** 0.35*** 0.94*** 0.35 0.91**
Constant 0.15** 0.20*** 0.21*** 0.14** 0.05*** 0.05*** 0.04** 0.04*** 0.43*** 0.02 0.46** 0.14 0.13*** 0.001 0.09* 0.05
R2 0.47 0.72 0.89 0.68 0.01 0.03 0.37 0.49 0.61 0.60 0.04 0.26 0.23 0.39 0.02 0.20
Note: p<0.1; p<0.05; p<0.01